Curran, L. T., & Wise, L. L.. (1994). Evaluation and implementation of CAT-ASVAB. In Paper presented at the annual meeting of the American Psychological Association. Los Angeles.

Culbertson, M. J. (2016). Bayesian Networks in Educational Assessment: The State of the Field. Applied Psychological Measurement, 40, 3-21. doi:10.1177/0146621615590401

Cui, Z., Liu, C., He, Y., & Chen, H.. (2018). Evaluation of a New Method for Providing Full Review Opportunities in Computerized Adaptive Testing—Computerized Adaptive Testing With Salt. Journal of Educational Measurement, 55, 582-594. doi:10.1111/jedm.12193

Cudeck, R., McCormick, D., & Cliff, N.. (1979). Monte Carlo Evaluation of Implied Orders As a Basis for Tailored Testing. Applied Psychological Measurement, 3(1), 65-74.

Cudeck, R., McCormick, D., & Cliff, N. A.. (1980). Implied orders tailored testing: Simulation with the Stanford-Binet. Applied Psychological Measurement, 4, 157-163.

Cudeck, R., McCormick, D. J., & Cliff, N. A.. (1979). Monte carlo evaluation of implied orders as a basis for tailored testing. Applied Psychological Measurement, 3, 65-74.

Cudeck, R. (1985). A structural comparison of conventional and adaptive versions of the ASVAB. Multivariate Behavioral Research, 20, 305-322.

Cudeck, R. A., Cliff, N. A., & Kehoe, J.. (1977). TAILOR: A FORTRAN procedure for interactive tailored testing. Educational and Psychological Measurement, 37, 767-769.

Cudeck, R., McCormick, D. J., & Cliff, N.. (1980). Implied Orders Tailored Testing: Simulation with the Stanford-Binet. Applied Psychological Measurement, 4(2), 157-163.

Cudeck, R. A., Cliff, N. A., Reynolds, T. J., & McCormick, D. J.. (1976). Monte carlo results from a computer program for tailored testing (Technical Report No. 2). Los Angeles CA: University of California, Department of Psychology.

Crotts, K. M., Zenisky, A. L., Sireci, S. G., & Li, X.. (2013). Estimating Measurement Precision in Reduced-Length Multi-Stage Adaptive Testing . Journal of Computerized Adaptive Testing, 1(4), 67-87. doi:10.7333/1309-0104067

Cronbach, L. J. (1966). New light on test strategy from decision theory. In . A. Anastasi (Ed.). Testing problems in perspective. Washington DC: American Council on Education.

Croll, P. R. (1982). Computerized adaptive testing system design: Preliminary design considerations (Tech. Report 82-52). San Diego CA: Navy Personnel Research and Development Center. (AD A118 495).

Croll, P. R., & Urry, V. W.. (1975). Tailored testing: Maximizing validity and utility for job selection. In Paper presented at the 86th Annual Convention of the American Psychological Association. Toronto. Canada.

Crichton, L. I. (1981). Effect of error in item parameter estimates on adaptive testing (Doctoral dissertation, University of Minnesota). Dissertation Abstracts International, 42, 06-B.

Crabbe, M., & Vandebroek, M.. (2014). Computerized Adaptive Testing for the Random Weights Linear Logistic Test Model. Applied Psychological Measurement, 38, 415-431. doi:10.1177/0146621614533987

Coyle, J. (2001). Final answer?. American School Board Journal, 188, 24-26.

Cox, M. A. A. (2014). A Numerical Investigation of the Recovery of Point Patterns With Minimal Information. Applied Psychological Measurement, 38, 329-335. doi:10.1177/0146621613516186

Cowden, D. J. (1946). An application of sequential sampling to testing students. Journal of the American Statistical Association, 41, 547-556.

Cowan, P., & Morrison, H.. (2001). Assessment in the twenty-first century: A role of computerised adaptive testing in national curriculum subjects. Teacher Development, 5, 241-57.

Coster, W. J., Haley, S. M., Ni, P., Dumas, H. M., & Fragala-Pinkham, M. A.. (2008). Assessing self-care and social function using a computer adaptive testing version of the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 89, 622-629. presented at the Apr.

Coster, W. J., Haley, S. M., Andres, P. L., Ludlow, L. H., Bond, T. L., & Ni, P. S.. (2004). Refining the conceptual basis for rehabilitation outcome measurement: personal care and instrumental activities domain. Medical Care, 42, I62-172. presented at the Jan.

Costa, D. R., Karino, C. A., Moura, F. A. S., & Andrade, D. F.. (2009). A comparison of three methods of item selection for computerized adaptive testing. In . D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.

Cory, C. H. (1976). Using computerized tests to add new dimensions to the measurement of abilities which are important for on-job performance: An exploratory study. In . C. K. Clark (Ed.), Proceedings of the First Conference on Computerized Adaptive Testing (pp. 64-74). Washington DC: U.S. Government Printing Office.

Cordova, M. J. (1998). Applications of network flows to computerized adaptive testing. Dissertation, Rutgers Center for Operations Research (RUTCOR), Rutgers University, New Brunswick NJ.

Cordova, M. J. (1997). Optimization methods in computerized adaptive testing. Unpublished doctoral dissertation, Rutgers University, New Brunswick NJ.

Cook, K. F., Choi, S. W., Crane, P. K., Deyo, R. A., Johnson, K. L., & Amtmann, D.. (2008). Letting the CAT out of the bag: Comparing computer adaptive tests and an 11-item short form of the Roland-Morris Disability Questionnaire. Spine, 33, 1378-83. presented at the May 20.

Cook, K. F., Roddey, T. S., Gartsman, G. M., & Olson, S. L.. (2003). Development and psychometric evaluation of the Flexilevel Scale of Shoulder Function (FLEX-SF). Medical Care (in press).

Cook, K. F., Teal, C. R., Bjorner, J. B., Cella, D., Chang, C. - H., Crane, P. K., et al.. (2007). IRT health outcomes data analysis project: an overview and summary. Quality of Life Research, 16, 121-132.

Cook, K. F., O'Malley, K. J., & Roddey, T. S.. (2005). Dynamic assessment of health outcomes: Time to let the CAT out of the bag?. Health Services Research, 40, 1694-1711.

Conrad, K. J., Riley, B. B., & Dennis, M. L.. (2007). The use of computerized adaptive testing to assess psychopathology using the Global Appraisal of Individual Needs. American Evaluation Association. presented at the November, Portland, OR USA: American Evaluation Association .

Conejo, R., Guzmán, E., Millán, E., Trella, M., Pérez-De-La-Cruz, J. L., & Ríos, A.. (2004). Siette: a web-based tool for adaptive testing. International Journal of Artificial Intelligence in Education, 14, 29-61.

Colvin, K., Keller, L. A., & Robin, F.. (2016). Effect of Imprecise Parameter Estimation on Ability Estimation in a Multistage Test in an Automatic Item Generation Context . Journal of Computerized Adaptive Testing, 4(1), 1-18. doi:10.7333/1608-040101

Collins, J. A., Greer, J. E., & Huang, S. X.. (1996). Adaptive assessment using granularity hierarchies and Bayesian nets. In . Frasson, C. and Gauthier, G. and Lesgold, A. (Eds.) Intelligent Tutoring Systems, Third International Conference, ITS'96, Montréal, Canada, June 1996 Proceedings. Lecture Notes in Computer Science 1086. Berlin Heidelberg: Springer-Verlag 569-577.

Collins, J. A. (1996). Adaptive testing with granularity. Masters thesis, University of Saskatchewan, Department of Computer Science.

Cliff, N. A., Cudeck, R., & McCormick, D.. (1978). Implied orders as a basis for tailored testing (Technical Report No. 6). Los Angeles CA: University of Southern California, Department of Psychology.

Cliff, N. A., & McCormick, D.. (1979). Evaluation of implied orders as a basis for tailored testing with simulation data. Applied Psychological Measurement, 3, 495-514.

Cliff, N. A., Cudeck, R., & McCormick, D.. (1978). Evaluations of implied orders as a basis for tailored testing using simulations (Technical Report No. 4). Los Angeles CA: University of Southern California, Department of Psychology.

Cliff, N. A., Cudeck, R., & McCormick, D.. (1977). An empirical evaluation of implied orders as a basis for tailored testing. In . D. J. Weiss (Ed.), Proceedings of the 1977 Computerized Adaptive Testing Conference. Minneapolis MN: University of Minnesota, Department of Psychology, Psychometric Methods Program.

Cliff, N. A. (1977). A theory of consistency ordering generalizable to tailored testing. Psychometrika, 375-399.

Cliff, N. A. (1976). Elements of a basic test theory generalizable to tailored testing. Unpublished manuscript.

Cliff, N. A. (1976). Incomplete orders and computerized testing. In C. K. Clark (Ed.), Proceedings of the First Conference on Computerized Adaptive Testing (pp. 18-23). Washington DC: U.S. Government Printing Office.

Cliff, N. A. (1975). Complete orders from incomplete data: Interactive ordering and tailored testing. Psychological Bulletin, 82, 259-302.

Cliff, N. A. (1975). A basic test theory generalizable to tailored testing (Technical Report No 1). Los Angeles CA: University of Southern California, Department of Psychology.

Cliff, N., Cudeck, R., & McCormick, D. J.. (1979). Evaluation of Implied Orders as a Basis for Tailored Testing with Simulation Data. Applied Psychological Measurement, 3(4), 495-514.

Cleary, T. A., Linn, R. L., & Rock, D. A.. (1968). Reproduction of total test score through the use of sequential programmed tests. Journal of Educational Measurement, 5, 183-187.

Cleary, T. A., Linn, R. L., & Rock, D. A.. (1969). An exploratory study of programmed tests. Educational and Psychological Measurement, 28, 345-360.

Claudio, M. J. C. (1998). Applications of network flows to computerized adaptive testing. Dissertation Abstracts International: Section B: the Sciences & Engineering, 59, 0855.

Clark, C. K. (1976). Proceedings of the first conference on computerized adaptive testing. Washington DC: U.S. Government Printing Office.

Cizek, G. J. (2004). Protecting the integrity of computer-adaptive licensure tests: Results of a legal challenge. In Paper presented at the annual meeting of the American Educational Research Association. San Diego CA.

Cito.,. (1999). WISCAT: Een computergestuurd toetspakket voor rekenen en wiskunde [A computerized test package for arithmetic and mathematics]. Cito: Arnhem, The Netherlands.

Chuah, S. C., Drasgow, F., & Luecht, R.. (2006). How Big Is Big Enough? Sample Size Requirements for CAST Item Parameter Estimation. Applied Measurement in Education, 19, 241-255. doi:10.1207/s15324818ame1903_5

Choi, S. W., & Swartz, R. J.. (2009). Comparison of CAT Item Selection Criteria for Polytomous Items. Applied Psychological Measurement, 33, 419-440. doi:10.1177/0146621608327801

Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous IRT models. Applied Psychological Measurement, 33, 644-645. presented at the Nov 1.

Choi, S. W., Grady, M. W., & Dodd, B. G.. (2011). A New Stopping Rule for Computerized Adaptive Testing. Educational and Psychological Measurement, 71, 37-53. doi:10.1177/0013164410387338

Choi, S. W., & Swartz, R. J.. (2009). Comparison of CAT item selection criteria for polytomous items. Applied Psychological Measurement, 33, 419–440.

Choi, S., Reise, S. P., Pilkonis, P. A., Hays, R. D., & Cella, D.. (2010). Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms. Quality of Life Research, 19(1), 125–136.

Choi, S. W., Moellering, K. T., Li, J., & van der Linden, W. J.. (2016). Optimal Reassembly of Shadow Tests in CAT. Applied Psychological Measurement, 40, 469-485. doi:10.1177/0146621616654597

Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous IRT models. Applied Psychological Measurement, 33, 644–645.

Choi, S. W., Grady, M. W., & Dodd, B. G.. (2010). A new stopping rule for computerized adaptive testing. Educational and Psychological Measurement, 70, 1-17. presented at the Dec 1.